Data mining with decision trees: Theory and applications

Lior Rokach, Oded Maimon

Research output: Book/ReportBookpeer-review

792 Scopus citations

Abstract

This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique. Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining, the science and technology of exploring large and complex bodies of data in order to discover useful patterns. The area is of great importance because it enables modeling and knowledge extraction from the abundance of data available. Both theoreticians and practitioners are continually seeking techniques to make the process more efficient, cost-effective and accurate. Decision trees, originally implemented in decision theory and statistics, are highly effective tools in other areas such as data mining, text mining, information extraction, machine learning, and pattern recognition.

Original languageEnglish
PublisherWorld Scientific Publishing Co.
Number of pages244
ISBN (Electronic)9789812771728
ISBN (Print)9789812771711
DOIs
StatePublished - 1 Jan 2007

ASJC Scopus subject areas

  • Computer Science (all)

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